{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:2BGWPC7LY7JCJW3WI7I6EOPIIF","short_pith_number":"pith:2BGWPC7L","schema_version":"1.0","canonical_sha256":"d04d678bebc7d224db7647d1e239e8414ada026ef29356c67ae47e022263839b","source":{"kind":"arxiv","id":"1706.07860","version":1},"attestation_state":"computed","paper":{"title":"Speaker Recognition with Cough, Laugh and \"Wei\"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.SD","authors_text":"Dong Wang, Lantian Li, Miao Zhang, Yixiang Chen","submitted_at":"2017-06-22T04:26:39Z","abstract_excerpt":"This paper proposes a speaker recognition (SRE) task with trivial speech events, such as cough and laugh. These trivial events are ubiquitous in conversations and less subjected to intentional change, therefore offering valuable particularities to discover the genuine speaker from disguised speech. However, trivial events are often short and idiocratic in spectral patterns, making SRE extremely difficult. Fortunately, we found a very powerful deep feature learning structure that can extract highly speaker-sensitive features. By employing this tool, we studied the SRE performance on three types"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1706.07860","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-06-22T04:26:39Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"123ce2bc6f89a3149d714698152741bc812e58ca87c67da1720aad1d81c9a020","abstract_canon_sha256":"8f69e1b31a1dd8014e1a872f6ca5c51511f550f956b25668a72fda8a7496fe98"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:41:47.364675Z","signature_b64":"QDPGTkV/pmIwAuLEWJ1CKPfuaKlTe+WAftW3gzVQWrIH+Bx5dcBJBweHJf3uBGezQJiSQGO58cA3vD+CVTUiBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d04d678bebc7d224db7647d1e239e8414ada026ef29356c67ae47e022263839b","last_reissued_at":"2026-05-18T00:41:47.363967Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:41:47.363967Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Speaker Recognition with Cough, Laugh and \"Wei\"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.SD","authors_text":"Dong Wang, Lantian Li, Miao Zhang, Yixiang Chen","submitted_at":"2017-06-22T04:26:39Z","abstract_excerpt":"This paper proposes a speaker recognition (SRE) task with trivial speech events, such as cough and laugh. These trivial events are ubiquitous in conversations and less subjected to intentional change, therefore offering valuable particularities to discover the genuine speaker from disguised speech. However, trivial events are often short and idiocratic in spectral patterns, making SRE extremely difficult. Fortunately, we found a very powerful deep feature learning structure that can extract highly speaker-sensitive features. By employing this tool, we studied the SRE performance on three types"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.07860","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1706.07860","created_at":"2026-05-18T00:41:47.364067+00:00"},{"alias_kind":"arxiv_version","alias_value":"1706.07860v1","created_at":"2026-05-18T00:41:47.364067+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.07860","created_at":"2026-05-18T00:41:47.364067+00:00"},{"alias_kind":"pith_short_12","alias_value":"2BGWPC7LY7JC","created_at":"2026-05-18T12:30:55.937587+00:00"},{"alias_kind":"pith_short_16","alias_value":"2BGWPC7LY7JCJW3W","created_at":"2026-05-18T12:30:55.937587+00:00"},{"alias_kind":"pith_short_8","alias_value":"2BGWPC7L","created_at":"2026-05-18T12:30:55.937587+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2BGWPC7LY7JCJW3WI7I6EOPIIF","json":"https://pith.science/pith/2BGWPC7LY7JCJW3WI7I6EOPIIF.json","graph_json":"https://pith.science/api/pith-number/2BGWPC7LY7JCJW3WI7I6EOPIIF/graph.json","events_json":"https://pith.science/api/pith-number/2BGWPC7LY7JCJW3WI7I6EOPIIF/events.json","paper":"https://pith.science/paper/2BGWPC7L"},"agent_actions":{"view_html":"https://pith.science/pith/2BGWPC7LY7JCJW3WI7I6EOPIIF","download_json":"https://pith.science/pith/2BGWPC7LY7JCJW3WI7I6EOPIIF.json","view_paper":"https://pith.science/paper/2BGWPC7L","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1706.07860&json=true","fetch_graph":"https://pith.science/api/pith-number/2BGWPC7LY7JCJW3WI7I6EOPIIF/graph.json","fetch_events":"https://pith.science/api/pith-number/2BGWPC7LY7JCJW3WI7I6EOPIIF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2BGWPC7LY7JCJW3WI7I6EOPIIF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2BGWPC7LY7JCJW3WI7I6EOPIIF/action/storage_attestation","attest_author":"https://pith.science/pith/2BGWPC7LY7JCJW3WI7I6EOPIIF/action/author_attestation","sign_citation":"https://pith.science/pith/2BGWPC7LY7JCJW3WI7I6EOPIIF/action/citation_signature","submit_replication":"https://pith.science/pith/2BGWPC7LY7JCJW3WI7I6EOPIIF/action/replication_record"}},"created_at":"2026-05-18T00:41:47.364067+00:00","updated_at":"2026-05-18T00:41:47.364067+00:00"}